A large-scale data security detection method based on continuous time graph embedding framework
Abstract Graph representation learning has made significant strides in various fields, including sociology and biology, in recent years. However, the majority of research has focused on static graphs, neglecting the temporality and continuity of edges in dynamic graphs. Furthermore, dynamic data are...
Сохранить в:
| Главные авторы: | , , , , |
|---|---|
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
SpringerOpen
2023-06-01
|
| Серии: | Journal of Cloud Computing: Advances, Systems and Applications |
| Предметы: | |
| Online-ссылка: | https://doi.org/10.1186/s13677-023-00460-4 |
| Метки: |
Нет меток, Требуется 1-ая метка записи!
|